aws-resource-validator-gameliftstreams

v2.0.3 suspicious
4.0
Medium Risk

Pydantic v2 models for AWS gameliftstreams, shipped as a PEP 420 namespace extension of aws-resource-validator.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no immediate signs of malicious intent such as network calls, shell executions, or obfuscation. However, the maintainer's metadata is concerning due to an inactive or new account without a proper author name.

  • No network calls detected
  • No shell execution patterns detected
  • Maintainer has a new or inactive account with missing author details
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external API interactions.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating the package is likely not attempting to hide malicious code.
  • Credentials: No credential harvesting patterns detected, suggesting the package does not aim to steal user secrets.
  • Metadata: The maintainer has a new or inactive account and lacks a proper author name, which raises some suspicion but does not conclusively indicate malice.

📦 Package Quality Overall: Low (3.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Brief PyPI description (324 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 4 unique contributor(s) across 75 commits in CoreOxide/aws_resource_validator
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository CoreOxide/aws_resource_validator appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aws-resource-validator-gameliftstreams 
Create a Python-based utility application named 'GameLiftStreamsValidator' that leverages the 'aws-resource-validator-gameliftstreams' package to validate GameLift Streams resources. This tool should enable users to input various configurations related to GameLift Streams and receive feedback on whether these configurations adhere to best practices and AWS validation rules. Here are the key functionalities and steps for building this utility:

1. **Setup Project Environment**: Initialize a new Python project using virtual environments. Install the necessary dependencies including 'aws-resource-validator-gameliftstreams', boto3 for AWS interactions, and any other required libraries.

2. **Define Input Interface**: Develop a simple command-line interface (CLI) where users can input their GameLift Streams configurations. These inputs should include parameters such as StreamName, PlayerSessionId, and StreamIds among others.

3. **Validation Logic**: Utilize the 'aws-resource-validator-gameliftstreams' package to define validation functions. These functions will use Pydantic v2 models provided by the package to check if the user-provided configurations are valid according to AWS standards. Ensure that the validation logic covers all relevant aspects of GameLift Streams configurations.

4. **Feedback Mechanism**: Implement a feedback mechanism within the CLI that provides users with clear messages indicating whether their configurations are valid or not. If there are issues, provide specific details about what needs correction.

5. **Integration Testing**: Write tests to ensure that the validation logic works correctly under different scenarios. Include both positive and negative test cases to cover various edge cases.

6. **Documentation**: Create comprehensive documentation explaining how to install the utility, how to use it effectively, and what each part of the validation process entails.

7. **Optional Enhancements**: Consider adding additional features like integration with AWS SDKs for automatic fetching of current GameLift Streams configurations, or a web-based UI for easier configuration input.

By following these steps, you'll create a valuable tool that helps developers and administrators ensure their GameLift Streams configurations are correct and optimized for performance.

💬 Discussion Feed

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